[−][src]Trait opencv::ximgproc::prelude::SelectiveSearchSegmentationStrategy
Strategie for the selective search segmentation algorithm The class implements a generic stragery for the algorithm described in uijlings2013selective.
Required methods
pub fn as_raw_SelectiveSearchSegmentationStrategy(&self) -> *const c_void
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pub fn as_raw_mut_SelectiveSearchSegmentationStrategy(&mut self) -> *mut c_void
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Provided methods
pub fn set_image(
&mut self,
img: &dyn ToInputArray,
regions: &dyn ToInputArray,
sizes: &dyn ToInputArray,
image_id: i32
) -> Result<()>
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&mut self,
img: &dyn ToInputArray,
regions: &dyn ToInputArray,
sizes: &dyn ToInputArray,
image_id: i32
) -> Result<()>
Set a initial image, with a segmentation.
Parameters
- img: The input image. Any number of channel can be provided
- regions: A segmentation of the image. The parameter must be the same size of img.
- sizes: The sizes of different regions
- image_id: If not set to -1, try to cache pre-computations. If the same set og (img, regions, size) is used, the image_id need to be the same.
C++ default parameters
- image_id: -1
pub fn get(&mut self, r1: i32, r2: i32) -> Result<f32>
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Return the score between two regions (between 0 and 1)
Parameters
- r1: The first region
- r2: The second region
pub fn merge(&mut self, r1: i32, r2: i32) -> Result<()>
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Inform the strategy that two regions will be merged
Parameters
- r1: The first region
- r2: The second region